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  Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010–2014

Feng, L., Palmer, P. I., Bösch, H., Parker, R. J.., Webb, A. J., Correia, C. S. C., et al. (2017). Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010–2014. Atmospheric Chemistry and Physics, 17(7), 4781-4797. doi:10.5194/acp-17-4781-2017.

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Feng, Liang, Author
Palmer, Paul I., Author
Bösch, Hartmut, Author
Parker, Robert J ., Author
Webb, Alex J., Author
Correia, Caio S. C., Author
Deutscher, Nicholas M., Author
Domingues, Lucas G., Author
Feist, Dietrich G.1, Author           
Gatti, Luciana V., Author
Gloor, Emanuel, Author
Hase, Frank, Author
Kivi, Rigel, Author
Liu, Yi, Author
Miller, John B., Author
Morino, Isamu, Author
Sussmann, Ralf, Author
Strong, Kimberly, Author
Uchino, Osamu, Author
Wang, Jing, Author
Zahn, Andreas, Author more..
Affiliations:
1Atmospheric Remote Sensing Group, Dr. D. Feist, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497783              

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 Abstract: We use the GEOS-Chem global 3-D model of atmospheric chemistry and transport and an ensemble Kalman filter to simultaneously infer regional fluxes of methane (CH4) and carbon dioxide (CO2) directly from GOSAT retrievals of XCH4:XCO2, using sparse ground-based CH4 and CO2 mole fraction data to anchor the ratio. This work builds on previously reported theory that takes advantage that: (1) these ratios are less prone to systematic error than either the full physics data products or the proxy CH4 data products; and (2) the resulting CH4 and CO2 fluxes are self-consistent. We show that a posteriori fluxes inferred from the GOSAT data generally outperform the fluxes inferred only from in situ data, as expected. GOSAT CH4 and CO2 fluxes are consistent with global growth rates for CO2 and CH4 reported by NOAA, and with a range of independent data including in particular new profile measurements (0–7 km) over the Amazon basin that were collected specifically to help validate GOSAT over this geographical region. We find that large-scale multi-year annual a posteriori CO2 fluxes inferred from GOSAT data are similar to those inferred from the in situ surface data but with smaller uncertainties, particularly over the tropics. GOSAT data are consistent with smaller peak-to-peak seasonal amplitudes of CO2 than either a priori or the in situ inversion, particularly over the tropics and the southern extra-tropics. Over the northern extra-tropics, GOSAT data show larger uptake than the a priori but less than the in situ inversion, resulting in small net emissions over the year. We also find evidence that the carbon balance of tropical South America was perturbed following the droughts of 2010 and 2012 with net annual fluxes not returning to an approximate annual balance until 2013. In contrast, GOSAT data significantly changed the a priori spatial distribution of CH4 emission with a 40 % increase over tropical South America and tropical Asia and smaller decrease over Eurasia and temperate South America. We find no evidence from GOSAT that tropical South American CH4 fluxes were dramatically affected by the two large-scale Amazon droughts. However, we find that GOSAT data are consistent with double seasonal peaks in fluxes that are reproduced over the five years we studied: a small peak in January to April and a larger peak in June to October, which is likely due to superimposed emissions from different geographical regions.

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 Dates: 2017-02-282017-04-122017-04
 Publication Status: Issued
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 Identifiers: Other: BGC2537
DOI: 10.5194/acp-17-4781-2017
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Title: Atmospheric Chemistry and Physics
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : European Geosciences Union
Pages: - Volume / Issue: 17 (7) Sequence Number: - Start / End Page: 4781 - 4797 Identifier: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016